Mark Zuckerberg

speaker

5,870 appearances 89 recordings 51 series first heard Jun 2023 last heard 2d ago

Mark Zuckerberg’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 36 in all, peaking in Jan 2026 with 6.

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"The Cognitive Revolution" · The AI-Powered Biohub: Why Mark Zuckerberg & Priscilla Chan are Investing in Data, from Latent.Space · 1 Feb 2026 podcast

But I mean there's

You know, a lot of people I think often take these things to the extreme and are like, Okay, pretty soon if you have these models, you're just gonna be able to run experiments with the models without even having to go to a wet lab.

And it's like

No, I mean I think that that's kind of like I think that that's sort of the biological version of like eventually AI is gonna automate every single thing in society.

It's like, look, it maybe you get there, right?

And I think that there's like some chance over time, but well before you do, you're going to be able to have models that can help generate hypotheses and scientists can apply their taste on which ideas or kind of suggestions

come from this are worth testing, and then you test them and then you feed it back into the model, which I think is basically the way that every AI model is deployed into even in code and other places.

Totally.

Yeah.

Well, I mean, one thing that we haven't talked about is the evolutionary scale team and Alex Reeves and and his team joining and they were like the announcement.

Yeah.

So I mean I mean, this is like probably the most talented team working on AI and biology, right?

And at like at the intersection of doing of like basically good biology background and also, you know, they've just been working on ESM3.

Yeah, some of the top protein models for a long period of time.

Yeah.

I mean, I I think if you want to build a an organization that is doing frontier biology and frontier AI, you need to have like world-leading AI researchers.

And we're doing that by basically combining the team that we have that's already put out all the models that we're talking about today, plus having the evolutionary scale team, which is just like very renowned.

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